Predicting hiring priorities
Abstract:
The disclosed embodiments provide a system for predicting hiring priorities. During operation, the system determines hiring features characterizing hiring activity by a company for a set of titles. Next, the system applies a first machine learning model to the hiring features to produce a first set of scores representing future hiring volumes and applies a second machine learning model to the hiring features to produce a second set of scores representing future hiring growth. The system then generates a first ranking of the titles by the first set of scores and a second ranking of the titles by the second set of scores. Finally, the system outputs at least a portion of the first ranking as a prediction of future hiring volumes by the company and at least a portion of the second ranking as a prediction of future hiring growth by the company.
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